memory hardware configured to store a machine learning model, historical driving data vector inputs, and computer-executable instructions, wherein each historical driving data vector input includes at least one sensed driving input indicative of desired driving behavior; and

processor hardware configured to execute the instructions, wherein the instructions include:

training the machine learning model with the historical driving data vector inputs to generate a reconstructed driving data output, wherein the reconstructed driving data output includes at least one reconstruction error score indicative of a likelihood that a driving data input corresponds to the desired driving behavior;

obtaining a current driving data input;

supplying the current driving data input to the machine learning model to generate a reconstructed driving data output including a reconstruction error score indicative of a likelihood that the current driving data input corresponds to the desired driving behavior;

determining a driving score according to the reconstruction error score;

identifying at least one driver notification according to the determined driving score; and

transmitting the at least one driver notification to a computing device to facilitate storage of the at least one driver notification in a database data structure or display of the at least one driver notification on a user interface.